This paper presents experimental results concerning the control of a distributed solar collector field, where the main objective concerns the regulation of the outlet oil temperature by suitably manipulating the oil flow rate. This is achieved by means of a constrained nonlinear adaptive model-based predictive control framework where the control action sequence is obtained by solving an open-loop optimization problem, subject to a set of constraints. The plant dynamics is approximated by an affine state-space neural network, whose complexity is specified in terms of the cardinality of dominant singular values associated with a subspace oblique projection of data-driven Hankel matrices. The neural network is first trained offline and subsequently improved through a recursive updating of its weights and biases, based on a dual unscented Kalman filter. The control scheme is implemented on the Acurex field of the Plataforma Solar de Almería, Spain. Results from these experiments demonstrate the feasibility of the proposed framework, and highlight the ability to cope with time-varying and unmodeled dynamics, under the form of disturbances, and its inherent capability for accommodating actuation faults.
Control Systems Technology, IEEE Transactions on, Vol. 22, #2, pp. 585-596, IEEE Control Systems Society, March 2014
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Year 2016 : 4 citations
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Zhang, Zhen, Cheng Ma, and Rong Zhu. "Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules." Sensors 16.10 (2016): 1709.
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Year 2015 : 2 citations
Temperature Uniformity Control of Large-Scale Vertical Quench Furnaces for Aluminum Alloy Thermal Treatment
L Shen, J He, C Yang, W Gui, H Xu - ieeexplore.ieee.org
Abstract—The thermal treatment of aluminum alloy workpieces requires strict temperature
uniformity in largescale vertical quench furnaces. To achieve the desired temperature
uniformity in a large-scale spatial setting, a temperature uniformity control strategy ...
Generalized Predictive Control of Temperature on an Atomic Layer Deposition Reactor
WJ He, HT Zhang, Z Chen, B Chu, K Cao, B Shan… - ieeexplore.ieee.org
Abstract—This brief establishes a closed-loop control system for a radiant heating atomic
layer deposition (ALD) reactor using generalized predictive control (GPC). The GPC-based
closed-loop control system can rapidly and precisely stabilize the temperature in the ...
Year 2014 : 1 citations
Zhang, Ridong, and F. Gao. "Temperature control of industrial coke furnace using novel state space model predictive control." (2014).
